# Transcranial Color Doppler for Assessing Cerebral Venous Outflow in Critically Ill and Surgical Patients

**Authors:** Amedeo Bianchini, Giovanni Vitale, Gabriele Melegari, Matteo Cescon, Matteo Ravaioli, Elena Zangheri, Maria Francesca Scuppa, Stefano Tigano, Antonio Siniscalchi

PMC · DOI: 10.3390/diagnostics16020289 · Diagnostics · 2026-01-16

## TL;DR

This review explores how Transcranial Color Doppler (TCCD) combined with Internal Jugular Vein (IJV) ultrasound can help monitor cerebral venous outflow in critically ill and surgical patients.

## Contribution

The paper introduces two procedural algorithms integrating venous TCCD and IJV ultrasound to detect and manage cerebral venous outflow impairment in clinical settings.

## Key findings

- Cerebral venous congestion can result from mechanical ventilation, cardiovascular disease, and central venous catheterization.
- Real-time venous TCCD monitoring with IJV assessment can detect venous outflow impairment and guide clinical adjustments.
- Venous TCCD may help prevent intracranial hypertension and its neurological complications in high-risk patients.

## Abstract

In recent years, Transcranial Color Doppler (TCCD) has gained increasing recognition as a non-invasive neuromonitoring tool. However, there remains a strong tendency to view arterial TCCD as the ‘stethoscope for the brain,’ while the assessment of cerebral venous flow is still underrepresented in clinical protocols. This review aims to explore the emerging role of venous TCCD, particularly when combined with Internal Jugular Vein (IJV) ultrasound, in evaluating cerebral venous outflow in both critically ill and surgical patients. We conducted a narrative review of e-Pub articles from PubMed, MEDLINE, and Scopus, on the pathophysiological factors that impair cerebral venous drainage and their clinical implications in surgical and critical care settings. Based on this evidence, we developed two procedural algorithms that integrate established knowledge of cerebral venous hemodynamics with common clinical conditions affecting venous outflow, including internal jugular central venous catheter placement, mechanical ventilation, and pneumoperitoneum. The algorithms emphasize systematic monitoring of cerebral venous drainage, including assessment of internal jugular vein morphology and Rosenthal’s vein flow, to guide procedural optimization and minimize potential neurological complications. They were informed by validated frameworks, such as the RaCeVa protocol, and are illustrated through two representative clinical case scenarios. Cerebral venous congestion can be induced by multiple established risk factors, including mechanical ventilation, cardiovascular disease, elevated intra-abdominal pressure, the Trendelenburg position, and central venous catheterization. In selected patients, real-time venous TCCD monitoring, combined with IJV assessment, allows early detection of cerebral venous outflow impairment and guides timely hemodynamic and procedural adjustments in both surgical settings and critical care contexts. Venous TCCD neuromonitoring may help prevent intracranial hypertension and its consequent neurological complications. It can guide clinical decisions during procedures that may compromise cerebral venous drainage, such as mechanical ventilation, the placement of large-bore central venous catheters, or laparoscopic and robot-assisted surgeries. Further studies are warranted to validate this strategy and better define its role in specific high-risk clinical scenarios.

## Full-text entities

- **Diseases:** cardiovascular disease (MESH:D002318), Cerebral venous congestion (MESH:D006940), neurological complications (MESH:D002493), intracranial hypertension (MESH:D019586), pneumoperitoneum (MESH:D011027), cerebral venous outflow impairment (MESH:D006502), Critically Ill (MESH:D016638)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12840142/full.md

## References

70 references — full list in the complete paper: https://tomesphere.com/paper/PMC12840142/full.md

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Source: https://tomesphere.com/paper/PMC12840142